模糊环境下报废汽车多目标逆向物流网络优化研究

Study on Network Optimization for Multi-objective Reverse Logistics of Scrapped Vehicles in Fuzzy Environment

以总成本最小化和回收率最大化为目标,采用三角模糊数来描述网络中回收量的不确定性,建立了模糊环境下的多目标逆向物流网络模型,并采用主要目标法对模糊环境下的多目标模型进行了求解,最后通过算例证明其可行性。

In this paper, in order to minimize the total cost and maximize the recovery rate, we u sed the triangular fuzzy number to describe the uncertainty of the recovery amount on the Internet, established the network model for the multi-objective reverse logistics in the fuzzy environment and adopted the main object method to do the calculation. Inits end, we proved its feasibility through an example.